• DocumentCode
    2154274
  • Title

    A Structure-Synthesis Image Inpainting Algorithm Based on Morphological Erosion Operation

  • Author

    Guo, Hao ; Ono, Nobutaka ; Sagayama, Shigeki

  • Volume
    3
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    530
  • Lastpage
    535
  • Abstract
    Image inpainting provides a means to restore damaged region of an image, such that the image looks complete and natural after the inpainting process. This paper presents a new inpainting algorithm, which implements the filling of damaged region based on morphological erosion and structure feature replication. The method, which is based on a structure/texture feature matching algorithm, can retain isophote continuity by propagating both texture and structure characteristics information of the known patch into the damaged region, and output a complete, natural-looking and non-blurred image. By implementing region-filling through morphological erosion, several pixels instead of one can be restored at every inpainting step, making the method faster than many traditional texture synthesis inpainting algorithms. We demonstrate through several examples the effectiveness of the algorithm in removing large occluding objects as well as thin scratches.
  • Keywords
    Computer science; Filling; Image restoration; Information science; Interpolation; Laplace equations; Morphology; Physics computing; Signal processing algorithms; TV; image inpainting; image restoration; mathematical morphology algorithms; texture synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, China
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.149
  • Filename
    4566540